scholarly journals Pricing Options on Ghanaian Stocks Using Black-Scholes Model

Author(s):  
Osei Antwi
2012 ◽  
Vol 573-574 ◽  
pp. 1010-1016
Author(s):  
Li Li Zhou

In this paper, by analyzing the cause of the weak power for China's carbon emissions, we design the trading and OTC options contracts of China's carbon emissions. By testing we found that the pricing method can indeed improve the pricing power of carbon emissions and acquire more transactions in negotiations .The policy implications of this article: Firstly, China should combine with domestic and international progress to plan the framework of China's carbon emissions trading as soon as possible. Secondly, we also launch the research of carbon emissions trading market and experimental work; the third, establishing trading center with the market-oriented to guide China's implementation of greenhouse gas emission reduction projects and to achieve Low-cost emission.


Author(s):  
Akash Singh ◽  
Ravi Gor Gor ◽  
Rinku Patel

Dynamic asset pricing model uses the Geometric Brownian Motion process. The Black-Scholes model known as standard model to price European option based on the assumption that underlying asset prices dynamic follows that log returns of asset is normally distributed. In this paper, we introduce a new stochastic process called levy process for pricing options. In this paper, we use the quadrature method to solve a numerical example for pricing options in the Indian context. The illustrations used in this paper for pricing the European style option.  We also try to develop the pricing formula for European put option by using put-call parity and check its relevancy on actual market data and observe some underlying phenomenon.


2020 ◽  
Vol 44 (2) ◽  
pp. 1843-1862
Author(s):  
Davood Ahmadian ◽  
Luca Vincenzo Ballestra ◽  
Nader Karimi

2021 ◽  
pp. 2150003
Author(s):  
MOAWIA ALGHALITH

Assuming a stochastic interest rate, we introduce a simple formula for pricing European options. In doing so, we provide a complete closed-form formula that does not require any numerical/computational methods. Furthermore, the model and formula are far simpler than the previous models/formulas. Our formula is as simple as the classical Black–Scholes pricing formula. Moreover, it removes the theoretical limitation of the original Black–Scholes model without any added practical complexity.


Author(s):  
Katarzyna BRZOZOWSKA-RUP ◽  
◽  
Sylwia HOŻEJOWSKA ◽  
Leszek HOŻEJOWSKI ◽  
◽  
...  

Purpose: Option pricing is hardly a new topic, however, in many cases they lack an analytical 11 solution. The article proposes a new approach to option pricing based on the semi-analytical 12 Trefftz method. 13 Design/methodology/approach: An appropriate transformation makes it possible to reduce the 14 Black-Scholes equation to the heat equation. This admits the Trefftz method (which has shown 15 its effectiveness in heat conduction problems) to be employed. The advantage of such 16 an approach lies in its computational simplicity and in the fact that it delivers a solution 17 satisfying the governing equation. 18 Findings: The theoretical option pricing problem being considered in the paper has been solved 19 by means of the Trefftz method, and the results achieved appear to comply with those taken 20 from the Black-Scholes formula. Numerical simulations have been carried out and compared, 21 which has confirmed the accuracy of the proposed approach. 22 Originality/value: Although a number of solutions to the Black-Scholes model have appeared, 23 the paper presents a thoroughly novel idea of implementation of the Trefftz method for solving 24 this model. So far, the method has been applied to problems having nothing in common with 25 finance. Therefore the present approach might be a starting point for software development, 26 competitive to the existing methods of pricing options.


2021 ◽  
Vol 20 ◽  
pp. 112-121
Author(s):  
Somphorn Arunsingkarat ◽  
Renato Costa ◽  
Masnita Misran ◽  
Nattakorn Phewchean

Variance changes over time and depends on historical data and previous variances; as a result, it is useful to use a GARCH process to model it. In this paper, we use the notion of Conditional Esscher transform to GARCH models to find the GARCH, EGARCH and GJR risk-neutral models. Subsequently, we apply these three models to obtain option prices for the Stock Exchange of Thailand and compare to the well-known Black-Scholes model. Findings suggest that most of the pricing options under GARCH model are the nearest to the actual prices for SET50 option contracts with both times to maturity of 30 days and 60 days.


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